Projects

Can genuine scientific discovery emerge from radically simple AI agent loops? We explore autonomous research agents built from minimal ingredients.

An agent-first platform that deploys bioimage AI models as autoscaling, agent-readable interfaces on cloud or HPC — and powers the “test run” feature on the BioImage Model Zoo. Described in a 2026 preprint.

A community-driven, fully open repository where standardized deep-learning models can be shared, tested in the browser, and deployed across imaging tools.

Open-source framework that connects AI models, data, and instruments into shared workspaces — the backbone of the lab’s platforms.

An AI assistant that helps scientists find the right imaging technologies and facilities across the Euro-BioImaging network from plain-language questions.

Control microscopes in plain language — LLM agents that turn scientific intent into imaging, segmentation, and analysis.

The classic ImageJ, reimagined to run entirely in the web browser — no installation, full plugin support, and AI assistance.

A community-driven, AI-powered assistant that helps researchers navigate bioimaging tools, databases and services — and autonomously runs analysis tasks from plain-language prompts. Published in Nature Methods.

Building AI-powered automated imaging farm for massive image data generation

Building AI-powered data-driven human whole-cell models